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相关概念视频

Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Super-resolution Fluorescence Microscopy01:37

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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The Ideal Transformer01:26

The Ideal Transformer

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In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
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Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Types Of Transformers01:16

Types Of Transformers

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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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相关实验视频

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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一个采用多分辨率变压器和两阶段特征融合技术的面研网络.

Wensheng Fan1, Fan Liu1, Jingzhi Li1

  • 1College of Data Science, Taiyuan University of Technology, Jinzhong, Shanxi, China.

PeerJ. Computer science
|August 7, 2023
PubMed
概括

这项研究引入了一种新的深度学习方法,用于全面利,增强远程传感图像. 这种新的方法有效地提取和融合图像特征,提高分辨率和细节,使用更少的参数.

科学领域:

  • 遥感 遥感 遥感 遥感
  • 图像处理 图像处理
  • 计算机视觉 计算机视觉

背景情况:

  • 泛敏保险丝低分辨率多光谱和高分辨率泛色彩图像,以创建增强的遥感数据.
  • 现有的深度学习方法往往无法完全提取和利用各种功能,导致信息丢失.

研究的目的:

  • 提出一种使用多分辨率变压器和两阶段特征融合策略的新面研磨方法.
  • 解决现有方法在特征提取和利用方面的局限性,以获得更好的全面利结果.

主要方法:

  • 基于变压器的多分辨率特征提取器旨在捕捉各种图像特征.
  • 采用了两阶段的功能融合策略,包括多分辨率融合和浅深融合模块.

主要成果:

  • 与QuickBird和WorldView-3数据集的最先进方法相比,提出的方法实现了优越的视觉和定量性能.
  • 该方法在较少的参数中证明了有效性,这表明效率有所提高.

结论:

  • 基于变压器的新型特征提取器和两阶段融合方案显著提高了板削性能.
  • 拟议的方法为生成高分辨率的多谱遥感图像提供了更有效的解决方案.
关键词:
多个分辨率的变压器.多光谱图像图像多光谱图像面板磨削 面板磨削 面板磨削遥感图像融合技术 遥感图像融合技术两个阶段的功能融合功能.

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